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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
photorealistic but also exhibit high semantic fidelity, temporal coherence, and practical usability in creative and industrial applications. 2. Main Tasks The Postdoctoral Research Fellow will be responsible
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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medicine Hands-on experience working with standard common data models: OMOP CDM, HL7 FHIR Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming
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-Doctoral Researcher will work on an area of research which builds on Prof J. Griffith Rollefson's 2019-2024 ERC CoG project CIPHER: Hip Hop Interpellation (https://globalcipher.org/) and 2025-2026 ERC PoC
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technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance of future wireless communication systems. Finally, due to the large
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world-leading research in programming language design, semantics, interactive theorem proving, and formal verification. About the research project We are looking for two Postdocs with a strong background
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enablers are concerned, we leverage expertise in advanced technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance
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, museum professionals, and other partners in the Hybrid Intelligence network. Where to apply Website https://www.academictransfer.com/en/jobs/362707/postdoc-position-on-multimodal-… Requirements Specific
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Emerging and Existing Linguistic Knowledge” (STATMIND ).STATMIND aims to investigate the dynamic interplay between previously acquired linguistic knowledge (including semantic properties of language